Hope is a partially subjective term that both psychologists and philosophers are struggling to define it [1]}. Hope analysis can be located within social media tasks' growing interest. However, most of the ongoing research on social media is focused on controlling and eliminating harmful content such as hate speech, abuse and offensive, misogyny detection, and false information or emotion analysis tasks [2]}. Hope speech detection as a Natural Language Processing (NLP) task was introduced by Chakravarthi et al. (2020) [2]} and Palakodety et al. (2020) [4]} by proposing two multilingual corpora that classify each YouTube comment into Hope and Not Hope categories. Details of these corpora are presented in Table REF . The existing hope speech corpora and their limitations, followed by the techniques for hope speech detection, are described below:
